Building Tomorrow's Banks Using AI & ML
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This document discusses how banks can use artificial intelligence and machine learning technologies from Amazon Web Services to enhance customer experience, improve operational excellence, and manage risk and compliance. It provides examples of how AWS services like Amazon Lex, Amazon SageMaker, Amazon Rekognition, and AWS DeepLens can be applied to applications like chatbots, fraud detection, computer vision, and more. The document argues that machine learning should be put in the hands of every developer, IT professional and data scientist to help transform banks.
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Building Tomorrow's Banks Using AI & ML
- 1. Building Tomorrow’s Banks using AI & Machine Learning Olivier Klein Head of Emerging Technologies Asia-Pacific Amazon Web Services
- 2. Self-Driving cars or assisted driving Voice assistants, IVR and chatbots Recommendation engines Fraud detection Incentives for reduced customer churn Computer assisted health diagnosis Anomaly detection in manufacturing Demand forecasting in F&B Spam E-Mail filtering Facial recognition airport check-in
- 5. Cloud is the new normal Cloud is normal Machine Learning is the new normal
- 6. AWS Lambda Interactions Understand interactions and sense the physical world Social Media Sensors Cameras Wearables Satellites Transactions Weblogs AWS IOT Amazon Kinesis Amazon API Gateway
- 7. Data concentrates in data lakes Amazon S3 Amazon Macie
- 8. Analyze, extract, transform, visualize to gain insights A m a z o n R e d s h i f t A m a z o n Q u i c k S i g h t A m a z o n E M R A m a z o n A t h e n a A W S G l u e
- 9. Identify trends, learn from the past and make predictions
- 10. Put machine learning in the hands of every developer, IT professional and data scientist Our mission:
- 11. FRAMEWORKS AND INTERFACES ML for data scientists KERAS Frameworks Interfaces APPLICATION SERVICES ML for everyone P O L L Y R E K O G N I T I O N C O M P R E H E N DL E X R E K O G N I T I O N V I D E O T R A N S C R I B E T R A N S L A T E PLATFORM SERVICES ML for engineers AMAZON SAGEMAKER NVIDIA Tesla V100 GPUs (14x faster than P2) P3 Machine Learning AMIs INFRASTRUCTURE Powering the ML AWS DEEPLENS SPARK & EMR AMAZON MECHANICAL TURK Intel Xeon Skylake (Optimized for ML) C5 AWS GREENGRASS ML
- 12. How does this apply to a bank?
- 15. Alexa, Hello!
- 16. Alexa Skill Amazon Echo Sitting on the shoulders of AWS and often AWS Lambda + New Interaction Channels
- 17. Assisted Interactions Intelligent Voice Responses Chatbots Funneling of incoming requests … Hi, how can I help you today? I want to apply for the new credit card that provides me with more air miles! Great, I can help you with that. Our new Miles X credit card might be the right choice, do you want to hear more? Requests Intentions Amazon Lex Fulfill automatically Reroute to correct funnel
- 18. Informational Bots Chatbots for everyday consumer requests Application Bots Build powerful interfaces to mobile applications News updates Weather information Game scores …. Book tickets Order food Manage bank accounts …. Enterprise Productivity Bots Streamline enterprise work activities and improve efficiencies Check sales numbers Marketing performance Inventory status …. Internet of Things (IoT) Bots Enable conversational interfaces for device interactions Wearables Appliances Auto …. Contact Center Bots Chatbots for customer service IVR Account inquiries Bill payment Service update …. A m a z o n L e x
- 19. A m a z o n S u m e r i a n The fastest and easiest way to create VR, AR, and 3D experiences
- 20. DEM O Display screen Consumer Amazon Lex AWS Cloud Mobile Phone / Tablets Amazon Sumerian Amazon Lex listens to the voice, interprets the intent and responds via an Amazon Sumerian host
- 21. Churn Prediction Product Recommendation Credit Scoring Robo Advisor Automatic Customer Insights ?
- 22. A fully managed service that enables data scientists and developers to quickly and easily build machine-learning based models into production smart applications. End-to-End Machine Learning Platform In-Built ML Algorithms Flexible Model Training Pay by the second A m a z o n S a g e m a k e r
- 23. SageMaker In-Built Algorithms K-means Clustering PCA Neural Topic Modelling Factorisation Machines Linear Learner – Regression XGBoost Latent Dirichlet Allocation Image Classification Seq2Seq Linear Learner Binary Classification DeepAR Forecasting
- 25. Learn independently with little supervision Simulates how our brains learn by creating artificial "neural networks" Especially useful in computer vision – learn from the data with little to no feature engineering D e e p L e a r n i n g : D e e p N e u r a l N e t w o r k
- 26. Retrain classifierFeature Extraction Convolutional Neural Network A m a z o n S a g e m a k e r In-Built algorithm for image classification transfer learning
- 27. Hong Kong ID Card Singapore NRIC New York State ID US Passport Invalid US Passport Invalid Document
- 28. Building ground truth data is an intensive task Need human intelligence to annotate data sets Facebook AI Research DigitalGlobe | Radiant A m a z o n M e c h a n i c a l T u r k
- 29. U n d e r s t a n d p h y s i c a l s e c u r i t y f o o t a g e
- 30. Serverless App AWS Greengrass Camera + Model Inference Consumer Body & Hands coordinates AWS IOT AWS Cloud DEM O Datalake Darknet OpenPose
- 32. Time stamps and confidence scores Support for both regular and telephony audio Punctuation § Detect multiple speakers Custom vocabulary A m a z o n T r a n s c r i b e
- 33. Sentiment Entities LanguagesKey phrases Topic modeling Powered By Deep Learning Natural language processing A m a z o n C o m p r e h e n d
- 34. Amazon.com, Inc. is located in Seattle, WA and was founded July 5th, 1994 by Jeff Bezos. Our customers love buying everything from books to blenders at great prices • Named Entities – Amazon.com: Organization – Seattle, WA : Location – July 5th,1994: Date – Jeff Bezos : Person • Keyphrases – Our customers – books – blenders – great prices • Sentiment – Positive • Language – English
- 35. Transcribe 8Khz call recordings with high accuracy Analyze the text with Amazon Comprehend Visualize results on Amazon QuickSight Amazon Transcribe Amazon Comprehend Amazon Connect Amazon Quicksight
- 36. AI enabled call center Amazon Lex AWS LambdaAmazon Connect Backend System Phone
- 37. Twitter Stream API Amazon Kinesis Amazon S3 Amazon Athena Analyze social media sentiments to better understand markets and individual equity related sentiment, classify and visualize feedback and take automated action Visualize results in Amazon QuickSight Amazon Comprehend Market research for investment AWS Lambda Take Action!
- 40. Object and Scene Detection Facial Analysis Face Recognition Text in Image Deep learning-based computer vision service for images and video Unsafe Image Detection Celebrity Recognition A m a z o n R e k o g n i t i o n
- 41. Monitoring App Camera (Edge Site) ConsumerAWS Cloud DEM O DatalakeAmazon S3 Amazon Rekognition Local Camera Compliance footage (picture & video) Real-time facial detection
- 42. Model Training Inference in the Cloud Inference at the Edge Building Intelligent Systems in the Cloud and at the Edge
- 43. Monitoring App Camera (Edge Site) ConsumerAWS Cloud DEM O Datalake Amazon S3 Amazon Rekognition Local Camera Local real-time facial detection AWS Greengrass Additional verification Only forward relevant footage
- 44. Fully programmable video camera Optimized for deep-learning on the device with Apache MXNet, Caffe, TensorFlow Tutorials, sample code, examples and pre-built models Integrated with Amazon Sagemaker for custom models AWS DeepLens A deep learning-enabled video camera for developers
- 45. Transaction Profiling Voice Profiling Conversation Profiling Fraud Detection Amazon Sagemaker Amazon Machine Learning Amazon Sagemaker Amazon Transcribe Amazon Comprehend Amazon Sagemaker Amazon Rekognition AWS DeepLens Facial recognition Document recognition
- 46. ServerlessElastic capacityAggressive migration At the Edge, On IoT DevicesPre-built imagesNew data created on AWS PredictionTrainingData GPUs and CPUsTons of GPUsPBs of existing data
- 47. Olivier Klein Head of Emerging Technologies Asia-Pacific Amazon Web Services